A Perceptual Measure of the Degree of Development of Proprietary Equipment

Kristy, O.; Junttila, Mikko; Schroeder, Roger G.

doi:10.1207/s15328007sem0904_7

Cited by 6 publications

(5 citation statements)

References 20 publications

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“…As a result, the internal consistency, the content validity and the construct validity have high values on the scales finally used (e.g. Flynn, et al, 1995;McKone et al, 1999;Sakakibara, et al, 1997;Cua et al, 2002;.…”

Section: Data Collectionmentioning

confidence: 99%

Do technology and manufacturing strategy links enhance operational performance? Empirical research in the auto supplier sector

Machuca

Jiménez

Garrido‐Vega

et al. 2011

International Journal of Production Economics

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Section: Data Collectionmentioning

confidence: 99%

Do technology and manufacturing strategy links enhance operational performance? Empirical research in the auto supplier sector

Machuca

Jiménez

Garrido‐Vega

et al. 2011

International Journal of Production Economics

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“…Questionnaires have been reviewed over the HPM project's various rounds. Also, the items and scales used as the international HPM project's measurement instruments have been tested in line with prescriptive reliability and validity and internal consistency analyses (Flynn et al , 1995; McKone et al , 1999; Sakakibara et al , 1997; Ahmad and Schroeder, 2002; Cua et al , 2002; Marin-Garcia et al , 2018).…”

Section: Methodsmentioning

confidence: 99%

The country context in Triple-A supply chains: an advanced PLS–SEM research study in emerging vs developed countries

Machuca

Marín-García

Alfalla-Luque

2020

IMDS

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PurposeThis paper analyzes whether the Triple-A supply chain (SC)–competitive advantage (CA) relationship is influenced by the country context and considers the case of emerging vs developed countries. Any differences in the importance of the three Triple-A SC dimensions (agility, adaptability and alignment) and a potential synergy effect among them when pursuing CA are also analyzed.Design/methodology/approachPartial least squares structural equation modeling (PLS-SEM) method is applied to an international multiple informant sample of 304 manufacturing plants in nine developed and five emerging countries.FindingsA significant positive relationship is found between the Triple-A SC and CA in the full sample and in the two separate samples of emerging and developed countries, which is more intense in the emerging countries. For the same samples, it is also concluded that (1) there are no significant differences in the importance of SC adaptability (SC-Ad), SC agility (SC-Ag) and SC alignment (SC-Al) as levers in the Triple-A SC–CA relationship and (2) a synergy effect among the Triple-A SC dimensions when pursuing CA is not supported.Research limitations/implicationsThe present study brings new evidence to the previous research on Triple-A SC and its relationship with CA in different country contexts. For managers, this work (1) shows that Triple A should be considered in the design of global SCs irrespective of the country context and (2) offers a first approach for determining the Triple-A SC levers that must be taken into consideration when pursuing a CA.Originality/valueThis paper contributes to Triple-A SC theory development. It is the first research study that analyzes the effect of the country context on the Triple-A SC–CA relationship and the importance of each of the Triple-A SC dimensions and their possible synergy effect when pursuing CA using a multiinformant international sample taken from different country contexts.

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“…The original method of examining the MTMM matrix (Campbell and Fiske, 1959) has given way to examination of the covariance structure using confirmatory factor analysis Widaman, 1985), which enables the explicit partitioning of item variance into trait, method and error variance. While OM researchers have not used MTMM analysis (see Cua et al, 2002 andDetert et al, 2003, for exceptions) some strategy scholars have used it to assess performance measures (Venkatraman and Ramanujam, 1987). Fundamentally, MTMM analysis is called for to examine construct validity-without validity a discipline is not a science (Venkatraman and Grant, 1986).…”

Section: Multitrait-multimethods Analysismentioning

confidence: 99%

Perceptual measures of performance: fact or fiction?

Ketokivi¹,

Schroeder

2004

J of Ops Management

477

317

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In contrast with the general management and strategy literature, performance measurement in the extant empirical operations management literature has relied heavily on perceptual measures of operational and financial performance. At the same time, rigorous examinations of the psychometric properties of such performance measurements instruments have not been performed. Especially needed are examinations of systematic informant bias and the related method variance and method bias, which are not captured by conventional methods used in operations management to assess construct reliability and validity. We conduct a multitrait-multimethod analysis of perceptual performance measures to investigate item-specific trait, method and error variance. Data from 164 factories with three informants per factory is analyzed. We find that while random error and systematic bias account for a large portion of item variance, perceptual measures satisfy the requirements of reliability and validity. However, we caution against the use of single-informant studies in future research as substantive conclusions may be affected.

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A Perceptual Measure of the Degree of Development of Proprietary Equipment

Cited by 6 publications

References 20 publications

Do technology and manufacturing strategy links enhance operational performance? Empirical research in the auto supplier sector

Do technology and manufacturing strategy links enhance operational performance? Empirical research in the auto supplier sector

The country context in Triple-A supply chains: an advanced PLS–SEM research study in emerging vs developed countries

Perceptual measures of performance: fact or fiction?

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